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Roy9829
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whisper-small-medical

Automatic Speech Recognition
Transformers
Safetensors
whisper
Generated from Trainer
Model card Files Community
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Files changed (4) hide show
  1. README.md +53 -0
  2. config.json +1 -1
  3. generation_config.json +192 -0
  4. training_args.bin +1 -1
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: openai/whisper-small.en
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - yashtiwari/PaulMooney-Medical-ASR-Data
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+ model-index:
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+ - name: Whisper Small Medical(English OnlyS)
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # Whisper Small Medical(English OnlyS)
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+
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+ This model is a fine-tuned version of [openai/whisper-small.en](https://huggingface.co/openai/whisper-small.en) on the Medical ASR dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 50
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+ - training_steps: 1000
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+ - mixed_precision_training: Native AMP
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+
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+ ### Framework versions
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+
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+ - Transformers 4.49.0
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 3.3.2
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+ - Tokenizers 0.21.0
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- "_name_or_path": "openai/whisper-small.en",
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  "activation_dropout": 0.0,
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  "activation_function": "gelu",
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  "apply_spec_augment": false,
 
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  "activation_dropout": 0.0,
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  "activation_function": "gelu",
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  "apply_spec_augment": false,
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